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GPT-5.1-Codex

GPT-5.1-Codex belongs to OpenAI's specialized coding family, designed from the ground up for software development workflows rather than general-purpose conversation. The model emphasizes steerability, meaning developers can guide its behavior and output more precisely for specific tasks. Its multimodal reasoning capability allows it to process both text and images in a single workflow—enabling it to reason across code files, UI states, architecture diagrams, and design comps together. The architecture supports context-aware code reviews that surface critical flows and quality issues, while its repo-aware intelligence means it maintains understanding of entire repositories rather than isolated snippets. This holistic awareness enables cohesive refactoring, test automation, and larger-scale development tasks that require remembering and applying changes across many files.

The model supports asynchronous execution through model-guided loops that retain state and context across long interactions, making it suitable for extended development sessions without losing track of prior work. Evaluation by METR found that GPT-5.1-Codex-Max represents an incremental improvement in AI-assisted development capabilities, with improvements on task completion benchmarks that align with qualitative impressions of its performance. For developers, this translates into practical benefits: the ability to work within VS Code environments, execute function calls for custom tooling, and leverage structured outputs for integration into development pipelines. The combination of vision capabilities with deep code understanding positions the model for use cases spanning frontend development, UI inspection from screenshots, documentation generation, and automated code review—where seeing visual states alongside source code provides richer context for suggestions and changes.

Poeopenai/gpt-5.1-codexgpt-codex

Quick Info

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Provider
Poe
Model key
openai/gpt-5.1-codex
Release date
Nov 12, 2025
Last updated
Nov 12, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.10
Output token cost
$9.00

Limits

Output tokens
128,000 tokens
Context window
400,000 tokens

Transparent token rates

Compare gpt-codex pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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